951 to 975 of 3,320 CI/CD Jobs in the UK

working knowledge of the Spring Boot framework. Hands-on experience with AWS (e.g., EC2, S3, Lambda, RDS). Familiarity with JavaScript for front-end development. Experience with relational and / or NoSQL databases. Solid understanding of software development principles, design patterns, and agile methodologies. Experience with Python is a significant advantage. Familiarity with containerization technologies (e.g., Docker, Kubernetes). … Experience with CI / CD pipelines. Please send me your CV for more information on these roles. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by More ❯

knowledge of Terraform for provisioning and managing Azure infrastructure including writing and maintaining Terraform modules for Azure resources and implementing infrastructure changes through workflows. Experience with version control (GitHub / ADO), code reviews, and understanding of infrastructure drift detection and remediation. Configuration Management (Ansible) - Proficient in using Ansible for configuration management, application deployment, and orchestration tasks across Azure VMs. … Expert knowledge of Microsoft Entra ID (Azure AD), Azure RBAC, Privileged Identity Management (PIM), managed identities, service principals, and Azure AD Connect for hybrid scenarios. Experience managing user provisioning / deprovisioning, conditional access policies, multi-factor authentication, Azure AD Application Proxy, federated authentication, SAML / OAuth integration, and implementing least-privilege access controls across Azure subscriptions and resources. … Container Services - Working knowledge of Docker containerisation and Azure Kubernetes Service (AKS) for supporting containerised applications. DevOps & CI / CD Pipelines - Experience supporting continuous integration and deployment pipelines using Azure DevOps (Azure Pipelines, Repos, Artifacts) or GitHub Actions integrated with Azure. Ability to troubleshoot build failures, manage YAML pipeline configurations, support deployment processes across Azure More ❯

Expertise: Hands-on experience with LLMs (OpenAI, Anthropic, Mistral) and agent frameworks. Advanced Tools: Familiarity with vector databases, RAG pipelines, prompt engineering, REST APIs, cloud deployment, and containerization (Docker / Kubernetes). Domain Knowledge: Experience in one or more business domains such as finance, housing, operations, or customer service. Preferred Extras: Degree in Computer Science, AI, Data Science, or … related fields. Experience with LangChain, CrewAI, Autogen, MLOps, CI / CD, and enterprise systems like SAP, Oracle, or Salesforce. How You'll Measure Success Number of intelligent agents deployed and adopted. Significant reduction in manual effort and process time. Accuracy, reliability, and continuous improvement of agent outputs. High stakeholder satisfaction and measurable business impact. If More ❯

You’ll Bring: 5+ years D365 Developer experience (Sales, Service, Marketing modules) Expert in Microsoft Dynamics 365, Power Platform, Azure integration services, DevOps (GIT, Azure DevOps, CI / CD) Experience providing technical guidance on architecture, standards, and resilience Strong communication skills, able to explain technical concepts to non-technical stakeholders Proactive, collaborative, and passionate about More ❯

You’ll Bring: 5+ years D365 Developer experience (Sales, Service, Marketing modules) Expert in Microsoft Dynamics 365, Power Platform, Azure integration services, DevOps (GIT, Azure DevOps, CI / CD) Experience providing technical guidance on architecture, standards, and resilience Strong communication skills, able to explain technical concepts to non-technical stakeholders Proactive, collaborative, and passionate about More ❯

to-end system design, including API gateways, service orchestration, integration patterns (e.g., module federation, event-driven architecture), and distributed systems. Demonstrate deep expertise in React (including advanced patterns, SSR / SSG, Next.js), Node.js, TypeScript, and Azure cloud services. Define and enforce comprehensive testing strategies (unit, integration, E2E) using Jest, Testing Library, Playwright, and champion TDD / BDD practices. … team on security vulnerabilities. Architect logging, monitoring, and tracing strategies (OpenTelemetry, Prometheus, Application Insights), and drive adoption of best practices for platform reliability. Architect and optimise CI / CD pipelines (Azure DevOps, GitHub Actions), automate quality gates, enable blue / green deployments, and drive continuous delivery. Set and enforce standards for Terraform / More ❯

Engineers on cross-functional improvements Maintain backend systems, shared libraries and support tools providing operational support when required What we'll need from you: Strong backend development experience (C# / .NET) with secure coding, architecture and code review expertise In-depth understanding with cloud infrastructure and resource optimisation (Azure preferred) Experience with CI / CD pipelines, performance tuning and DevOps (Azure DevOps desirable) Familiarity with monitoring, automation and containerisation / orchestration (Docker / Kubernetes) Strong collaboration and problem-solving abilities Knowledge of cybersecurity practices, including static and dynamic scanning standards Familiarity with modern DevOps pipelines and platform architecture Awareness of platform-level monitoring, benchmarking and automation principles Degree in Computer Science More ❯

and actively participating in our communities of practices Leverage your technical expertise to shape solutions and contribute insights to help win new projects The brief in short: Tech Lead / Engineering Lead experience – leading pods of around 3–6 engineers Strong, recent hands-on coding in .NET, Java, or Python (not just oversight) Deep experience in cloud architecture and … infrastructure , (AWS or Azure, Terraform, Kubernetes, CI / CD) Proven ability to re-architect or modernise platforms – ideally moving from legacy to cloud-native Built distributed systems on AWS or Azure Strong communicator – articulate, credible, and comfortable in client-facing or pre-sales conversations Can translate complex technical topics into clear business language Experience working … awareness. Additional information Flexible working - The client is guided by their client work and needs; however, you have autonomy to manage your time and diary to suit your work / life balance. Our clients are dedicated to supporting the physical, emotional, social and financial well-being of their people. Check out some of the extensive benefits: Health and lifestyle More ❯

Engineers on cross-functional improvements Maintain backend systems, shared libraries and support tools providing operational support when required What we'll need from you: Strong backend development experience (C# / .NET) with secure coding, architecture and code review expertise In-depth understanding with cloud infrastructure and resource optimisation (Azure preferred) Experience with CI / CD pipelines, performance tuning and DevOps (Azure DevOps desirable) Familiarity with monitoring, automation and containerisation / orchestration (Docker / Kubernetes) Strong collaboration and problem-solving abilities Knowledge of cybersecurity practices, including static and dynamic scanning standards Familiarity with modern DevOps pipelines and platform architecture Awareness of platform-level monitoring, benchmarking and automation principles Degree in Computer Science More ❯

and actively participating in our communities of practices Leverage your technical expertise to shape solutions and contribute insights to help win new projects The brief in short: Tech Lead / Engineering Lead experience – leading pods of around 3–6 engineers Strong, recent hands-on coding in .NET, Java, or Python (not just oversight) Deep experience in cloud architecture and … infrastructure , (AWS or Azure, Terraform, Kubernetes, CI / CD) Proven ability to re-architect or modernise platforms – ideally moving from legacy to cloud-native Built distributed systems on AWS or Azure Strong communicator – articulate, credible, and comfortable in client-facing or pre-sales conversations Can translate complex technical topics into clear business language Experience working … awareness. Additional information Flexible working - The client is guided by their client work and needs; however, you have autonomy to manage your time and diary to suit your work / life balance. Our clients are dedicated to supporting the physical, emotional, social and financial well-being of their people. Check out some of the extensive benefits: Health and lifestyle More ❯

and actively participating in our communities of practices Leverage your technical expertise to shape solutions and contribute insights to help win new projects The brief in short: Tech Lead / Engineering Lead experience – leading pods of around 3–6 engineers Strong, recent hands-on coding in .NET, Java, or Python (not just oversight) Deep experience in cloud architecture and … infrastructure , (AWS or Azure, Terraform, Kubernetes, CI / CD) Proven ability to re-architect or modernise platforms – ideally moving from legacy to cloud-native Built distributed systems on AWS or Azure Strong communicator – articulate, credible, and comfortable in client-facing or pre-sales conversations Can translate complex technical topics into clear business language Experience working … awareness. Additional information Flexible working - The client is guided by their client work and needs; however, you have autonomy to manage your time and diary to suit your work / life balance. Our clients are dedicated to supporting the physical, emotional, social and financial well-being of their people. Check out some of the extensive benefits: Health and lifestyle More ❯

as Data Factory, Databricks, Data Lake, Azure SQL, Synapse, Data Catalog, and Purview. Strong Python and SQL skills for transformation and pipeline development. Solid understanding of Azure data storage / warehouse technologies including SQL MI and Synapse. Familiar with DevOps ways of working, including CI / CD and IaC (e.g., Bicep, Terraform ). Experienced More ❯

reliability, and security across services Core Technologies: Languages: Node.js, Python Databases: PostgreSQL, DynamoDB Cloud: AWS (Lambda, DynamoDB, PostgreSQL, Infrastructure as Code) Practices: Microservices, TDD, Agile methodologies, CI / CD, system integration patterns Requirements: Significant hands-on experience with Node.js and Python in production systems Strong background in database design and development (PostgreSQL, DynamoDB) Proven experience More ❯

reliability, and security across services Core Technologies: Languages: Node.js, Python Databases: PostgreSQL, DynamoDB Cloud: AWS (Lambda, DynamoDB, PostgreSQL, Infrastructure as Code) Practices: Microservices, TDD, Agile methodologies, CI / CD, system integration patterns Requirements: Significant hands-on experience with Node.js and Python in production systems Strong background in database design and development (PostgreSQL, DynamoDB) Proven experience More ❯

resolve escalated database incidents and requests. Backup, restore and disaster recovery: author and practice DR plans, run restore drills, validate backups and enforce retention. Security and compliance: manage IAM / ACLs, encryption (at rest / in transit), secrets management, access reviews and audit logging. Execute database upgrades and change management: plan / coordinate upgrades with rollback plans … and compatibility testing. Automate as much as possible: IaC (Terraform / Deployment Manager), CI / CD for schema and infra changes, automated remediation and runbooks. Capacity planning - forecasting growth. Maintaining, monitoring and observability of database solutions; own dashboards, SLOs, logging, metrics and actionable alerts. Cost and resource governance: tagging, quota controls, cost monitoring and … chargeback recommendations. Mentoring and documentation: maintain runbooks, knowledge base, and coach engineers on DB best practices. Vendor / third party management: manage managed service support relationships and SLAs. Essential Databases : Cloud SQL (MySQL) and BigQuery; strong knowledge of indexing, query plans, schema refactoring and OLTP patterns. Cloud: Production experience with GCP. Scripting & IaC : Terraform; Ansible, Git, Bash. Tooling : Query More ❯

Group. In order to strengthen our Systematic Research team, we are looking for a London based: Quantitative Analyst We are seeking a hands on quantitative researcher with strong software / DevOps / MLOps capability to develop, productionise, and scale systematic investment models and sustainability analytics. You will own the end to end research to production lifecycle : automating data … and maintain quantitative models, metrics and investment frameworks, with rigorous back‐testing, scenario design, and attribution . Integrate new indicators and alternative datasets; formalise feature engineering and signal decay / robustness analysis; implement model risk controls , documentation, and reproducibility. Scale and commercialise proprietary metrics for investment use‐cases and new revenue lines (e.g., indices, APIs / subscriptions, data … multi‐vendor datasets (schema evolution, mapping, entity resolution, referential integrity, SLA oversight). Run impact analysis of data changes on models and reporting; manage deployment pipelines and data lineage / audit trails ; support data procurement and budgeting. 3) Platform Development & Process Management Co-develop with systematic team and IT a scalable data / quant architecture (data pipelines, model More ❯

and security standards. This is a senior, hands-on role, you'll mentor one other Platform Engineer in London and collaborate on global initiatives with the wider team. Location / WFH: You'll join colleagues in the Central London office with flexibility to work from home once a week. About you: You have strong experience with cloud infrastructure engineering … Code tools such as Terraform or CloudFormation You can code with Python or Golang for automation You have a strong knowledge of cloud security best practices, CI / CD pipelines and DevOps practices You have experience of mentoring and providing technical leadership You're collaborative and pragmatic with great communication skills You're degree educated More ❯

about cloud technologies and want to build a practice, not just maintain one. Key Responsibilities: Strategy & Architecture: Define and execute the cloud strategy, specializing in Kubernetes orchestration, multi-cloud / hybrid cloud architectures, and serverless computing. Hands-On Implementation: Lead the hands-on deployment, configuration, and management of secure, high-performance cloud environments (e.g., AWS, Azure, GCP) for critical … Professional, Azure Solutions Architect Expert). You have a strong background in Infrastructure-as-Code (IaC) using tools like Terraform or CloudFormation, and are fluent in CI / CD pipelines. Experience in migrating and modernising large-scale enterprise applications to the cloud is highly desirable. You are a natural problem-solver, an excellent communicator, and More ❯

diagrams, and technical specifications. Cloud Strategy and Implementation Define and drive the organization’s cloud strategy, focusing on AWS services such as EC2, S3, Lambda, RDS, DynamoDB, and CloudFormation / Terraform. Architect solutions using best practices in microservices, containerization, and serverless computing. Design fault-tolerant, highly available, and scalable cloud infrastructures to support real-time applications. Kafka Integration and … Practices Stay updated with the latest trends and advancements in cloud computing, AWS services, and distributed systems. Advocate for and implement cloud architecture best practices, including CI / CD pipelines, Infrastructure as Code (IaC), and observability tools. Mentor and guide junior architects and engineers in cloud technologies and distributed systems. Qualifications and Requirements Experience 8+ … event-driven architectures and data streaming using Kafka. iGaming experience is a plus. Technical Skills Deep knowledge of AWS services such as EC2, S3, Lambda, RDS, DynamoDB, and CloudFormation / Terraform. Strong understanding of networking principles, including VPC, load balancing, and DNS. Experience with container orchestration platforms (e.g., Kubernetes, ECS, or EKS). Proficiency in designing event-driven and More ❯

AI Workflow Manager Location: UK (Hybrid / Remote) We’re helping a leading software group transform how accountants and payroll professionals work ,through intelligent automation that replaces hours of manual processing with minutes of smart execution. They’re not chasing hype. They’re using AI to solve real problems, building production-ready automation systems that power how businesses actually … coaching and delivery. 5+ years of professional software engineering in Python , including production workflow tools such as Langflow , Airflow , Prefect , or n8n . Deep understanding of CI / CD, distributed systems, and API integration (OAuth, retries, rate limits). Experience integrating AI / LLM APIs into production systems, pragmatic about what AI can and More ❯

automated model development, deployment, and monitoring Leverage tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI / CD practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in … the development of machine learning models and / or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques More ❯

automated model development, deployment, and monitoring Leverage tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI / CD practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in … the development of machine learning models and / or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques More ❯

seamless integration of cloud solutions. Develop, implement, and maintain cloud security controls using tools like Prisma Cloud and App Check . Integrate security best practices into CI / CD pipelines in collaboration with DevOps and Infrastructure teams. Apply expertise in cloud networking, identity management, and encryption to ensure robust and secure environments. Manage identity and More ❯

Job Specification: AI Developer (Azure AI or Copilot Stack) Role: AI Developer Contract Length: 6 Months (with potential for extension) IR35 Status: Outside IR35 Location: London / Hybrid (minimum 1 day per week in the office) Client: UK Government Organisation Role Purpose We are seeking a highly skilled and delivery-focused AI Developer to join a high-profile project … and accessibility requirements. Essential Skills & Experience Proven AI Development Experience: Demonstrable commercial experience in developing and deploying AI solutions, specifically within the Microsoft Azure AI ecosystem . Microsoft Copilot / Azure OpenAI: Hands-on, practical experience with Microsoft Copilot (e.g., Copilot for M365, building custom Copilots) or Azure OpenAI Service (GPT models, embeddings, prompt engineering). Technical Proficiency: Strong … Git. Desirable Skills & Experience Knowledge of information security best practices, particularly those relevant to the Public Sector (e.g., NCSC guidelines) . Experience with Azure DevOps for CI / CD pipelines. Understanding of responsible AI principles, fairness, transparency, and model governance. Familiarity with other cloud platforms (AWS, GCP) is a plus but not essential. Personal Attributes More ❯

level Python; strong in R, Java, or C++ Hands-on with TensorFlow, PyTorch, Keras, Hugging Face, LangChain Cloud-native mindset: AWS, Azure, GCP + Docker, Kubernetes, CI / CD Deep understanding of ML / DL algorithms, model evaluation, and data engineering Strong communicator and collaborator across technical and business teams Bonus Points Experience with More ❯